2021
Comparison of Diabetes Medications Used by Adults With Commercial Insurance vs Medicare Advantage, 2016 to 2019
McCoy RG, Van Houten HK, Deng Y, Mandic PK, Ross JS, Montori VM, Shah ND. Comparison of Diabetes Medications Used by Adults With Commercial Insurance vs Medicare Advantage, 2016 to 2019. JAMA Network Open 2021, 4: e2035792. PMID: 33523188, PMCID: PMC7851726, DOI: 10.1001/jamanetworkopen.2020.35792.Peer-Reviewed Original ResearchConceptsSodium-glucose cotransporter 2 inhibitorsDipeptidyl peptidase-4 inhibitorsCommercial insurance beneficiariesMedicare Advantage beneficiariesDPP-4i treatmentGLP-1RAsType 2 diabetesInsurance beneficiariesMedicare AdvantageGlucose levelsGlucagonlike Peptide-1 Receptor AgonistsPeptide-1 receptor agonistsHealth plansCommercial health insurance plansGLP-1RA treatmentRetrospective cohort studyCotransporter 2 inhibitorsInitiation of treatmentPeptidase-4 inhibitorsLow-income patientsSeparate logistic regression modelsAdministrative claims dataCommercial health plansAdjusted annual rateLogistic regression models
2018
Disparities in the Use of Programmed Death 1 Immune Checkpoint Inhibitors
O'Connor JM, Seidl‐Rathkopf K, Torres AZ, You P, Carson KR, Ross JS, Gross CP. Disparities in the Use of Programmed Death 1 Immune Checkpoint Inhibitors. The Oncologist 2018, 23: 1388-1390. PMID: 30012876, PMCID: PMC6291337, DOI: 10.1634/theoncologist.2017-0673.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerAnti-PD1 agentsAnti-PD1 treatmentImmune checkpoint inhibitorsCheckpoint inhibitorsDeath-1 immune checkpoint inhibitorPrior anticancer therapyDeath protein 1Cell lung cancerCommunity-based cohortAdvanced-stage cancerRenal cell carcinomaSex-based disparitiesSystemic treatmentCell carcinomaLung cancerMultivariable modelObservational studyHigher oddsStage cancerRace-based disparitiesPatient careAnticancer therapyProtein 1Patients
2016
Participation of the elderly, women, and minorities in pivotal trials supporting 2011–2013 U.S. Food and Drug Administration approvals
Downing NS, Shah ND, Neiman JH, Aminawung JA, Krumholz HM, Ross JS. Participation of the elderly, women, and minorities in pivotal trials supporting 2011–2013 U.S. Food and Drug Administration approvals. Trials 2016, 17: 199. PMID: 27079511, PMCID: PMC4832528, DOI: 10.1186/s13063-016-1322-4.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge FactorsAgedClinical Trials as TopicCross-Sectional StudiesDatabases, FactualDrug ApprovalEthnicityFemaleHealth Status DisparitiesHealthcare DisparitiesHumansMaleMiddle AgedMinority GroupsPatient SelectionSex FactorsTime FactorsUnited StatesUnited States Food and Drug AdministrationConceptsSubgroup efficacy analysesPivotal trialsEfficacy analysisNovel therapeuticsSubgroup analysisTrial participantsU.S. FoodMean proportionAvailable FDA documentsCross-sectional studyDrug Administration approvalBasis of approvalYears of ageTrial patientsElderly patientsMedian ageBlack patientsAsian patientsAdministration approvalClinical studiesFDA reviewersPatientsHispanic participantsTrialsDemographic characteristics
2015
No Time to Wait
Ross JS, Katz MH. No Time to Wait. JAMA Internal Medicine 2015, 175: 1-1. PMID: 26437319, DOI: 10.1001/jamainternmed.2015.5393.Commentaries, Editorials and Letters
2014
High Incarceration Rates Among Black Men Enrolled In Clinical Studies May Compromise Ability To Identify Disparities
Wang EA, Aminawung JA, Wildeman C, Ross JS, Krumholz HM. High Incarceration Rates Among Black Men Enrolled In Clinical Studies May Compromise Ability To Identify Disparities. Health Affairs 2014, 33: 848-855. PMID: 24799583, PMCID: PMC4065793, DOI: 10.1377/hlthaff.2013.1325.Peer-Reviewed Original ResearchConceptsClinical studiesHealth outcomesBlack menProspective clinical studyObservational clinical researchBlood InstituteNational HeartClinical researchWhite womenRacial disparitiesWhite menMinimal riskMenBlack womenHigh rateJail inmatesMinority populationsWomenOutcomesEffects of incarcerationImpact of incarcerationHigh incarceration ratesIncarcerationLungFollow
2013
Age-based and Sex-based Disparities in Screening Colonoscopy Use Among Medicare Beneficiaries
Gancayco J, Soulos PR, Khiani V, Cramer LD, Ross JS, Genao I, Tinetti M, Gross CP. Age-based and Sex-based Disparities in Screening Colonoscopy Use Among Medicare Beneficiaries. Journal Of Clinical Gastroenterology 2013, 47: 630-636. PMID: 23619827, DOI: 10.1097/mcg.0b013e31828345c8.Peer-Reviewed Original ResearchConceptsColonoscopy useScreening colonoscopyColonoscopy ratesLife expectancyMedicare beneficiariesOlder personsColorectal cancer incidencePatient demographic characteristicsLow screening ratesSex-based disparitiesShort life expectancySex-based differencesLonger life expectancyPatients 68Older patientsPatients 75Screening ratesCancer incidenceLarge cohortMedicare claimsColonoscopyMedicare dataPatientsPoisson regressionLife table approachRegional Density of Cardiologists and Rates of Mortality for Acute Myocardial Infarction and Heart Failure
Kulkarni VT, Ross JS, Wang Y, Nallamothu BK, Spertus JA, Normand SL, Masoudi FA, Krumholz HM. Regional Density of Cardiologists and Rates of Mortality for Acute Myocardial Infarction and Heart Failure. Circulation Cardiovascular Quality And Outcomes 2013, 6: 352-359. PMID: 23680965, PMCID: PMC5323047, DOI: 10.1161/circoutcomes.113.000214.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCardiologyCohort StudiesFemaleHealth Services AccessibilityHealth Services Needs and DemandHealthcare DisparitiesHeart FailureHospitalizationHumansLinear ModelsLogistic ModelsMaleMedicareMyocardial InfarctionOdds RatioPhysiciansPneumoniaPrognosisResidence CharacteristicsRisk AssessmentRisk FactorsTime FactorsUnited StatesWorkforceConceptsAcute myocardial infarctionHeart failureHospital referral regionsMortality riskLowest quintileMyocardial infarctionReferral regionsMedicare administrative claims dataCharacteristics of patientsRisk of deathAdministrative claims dataHierarchical logistic regression modelsLogistic regression modelsRate of mortalityRegional densityHighest quintileNumber of cardiologistsWorse outcomesClaims dataPatientsPneumoniaCardiologistsHospitalizationAdmissionQuintile
2011
Do Imaging Studies Performed in Physician Offices Increase Downstream Utilization? An Empiric Analysis of Cardiac Stress Testing With Imaging
Chen J, Fazel R, Ross JS, McNamara RL, Einstein AJ, Al-Mallah M, Krumholz HM, Nallamothu BK. Do Imaging Studies Performed in Physician Offices Increase Downstream Utilization? An Empiric Analysis of Cardiac Stress Testing With Imaging. JACC Cardiovascular Imaging 2011, 4: 630-637. PMID: 21679898, PMCID: PMC3319749, DOI: 10.1016/j.jcmg.2011.04.003.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overCardiac CatheterizationChi-Square DistributionEchocardiography, StressEmpirical ResearchFemaleHealthcare DisparitiesHumansInsurance, HealthLogistic ModelsMaleMiddle AgedMyocardial Perfusion ImagingMyocardial RevascularizationOffice VisitsOutpatient Clinics, HospitalPractice Patterns, Physicians'Predictive Value of TestsResidence CharacteristicsTime FactorsUnited StatesYoung AdultConceptsMyocardial perfusion imagingSubsequent myocardial perfusion imagingProportion of patientsStress echocardiographyCardiac catheterizationHospital outpatient settingPhysician's officeOutpatient settingStress testingSubsequent cardiac testingCardiac stress testingDownstream resource utilizationHospital outpatient facilitiesCardiac testingPrivate health insuranceDownstream testingOffice imagingPerfusion imagingCatheterizationImaging studiesOutpatient imagingPatientsHealth insuranceLower ratesHigh rate
2009
Use of Stroke Secondary Prevention Services
Ross JS, Halm EA, Bravata DM. Use of Stroke Secondary Prevention Services. Stroke 2009, 40: 1811-1819. PMID: 19265044, PMCID: PMC2768116, DOI: 10.1161/strokeaha.108.539619.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overAspirinCross-Sectional StudiesData Interpretation, StatisticalDelivery of Health CareEthnicityFemaleGeographyHealth BehaviorHealth Care SurveysHealth StatusHealthcare DisparitiesHumansLife StyleMaleMiddle AgedPlatelet Aggregation InhibitorsRisk FactorsSex FactorsSocioeconomic FactorsStrokeUnited StatesYoung AdultConceptsSecondary prevention servicesOutpatient rehabilitationPrevention servicesRegular exerciseService useHealth care access characteristicsBehavior Risk Factor Surveillance SystemRisk Factor Surveillance SystemSmoking cessation counselingHistory of strokeMultivariable logistic regressionStroke Belt statesNon-Hispanic blacksOverall service useLow useState residenceSex-based differencesRace-based differencesPneumococcal vaccinationAntihypertensive medicationsCessation counselingStroke outcomeSelf-reported useAge 80Stroke Belt
2008
Influence of Patients’ Socioeconomic Status on Clinical Management Decisions: A Qualitative Study
Bernheim SM, Ross JS, Krumholz HM, Bradley EH. Influence of Patients’ Socioeconomic Status on Clinical Management Decisions: A Qualitative Study. The Annals Of Family Medicine 2008, 6: 53-59. PMID: 18195315, PMCID: PMC2203396, DOI: 10.1370/afm.749.Peer-Reviewed Original ResearchConceptsClinical management decisionsPatients' socioeconomic statusClinical managementSocioeconomic statusPatient sPatient outcomesPrimary care physiciansStandard of careInfluence of patientLow socioeconomic statusVaried practice settingsHealth care qualitySES influencesCare physiciansHispanic ethnicityPhysician perspectivesPractice settingsCare qualityPatientsPhysiciansPatient interestMinority racial backgroundsInterview guideFinancial strainOutcomes